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Q: In case of deterministic update, what kind of equilibrium is reached?
In case of deterministic update, what kind of equilibrium is reached? (a) static (b) dynamic (c) neutral (d) none of the mentioned Please answer the above question....
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Aug 30, 2022
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Q: In case of stochastic update, can static equilibrium be reached?
In case of stochastic update, can static equilibrium be reached? (a) yes (b) no This question was addressed ... Neural Networks of Neural Networks Please answer the above question....
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Aug 27, 2022
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Q: In case of stochastic update, what kind of equilibrium is reached?
In case of stochastic update, what kind of equilibrium is reached? (a) static (b) dynamic (c) neutral (d) equilibrium not possible Please answer the above question....
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Aug 27, 2022
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Q: Is it possible in stochastic network that average state of network doesn’t change with time?
Is it possible in stochastic network that average state of network doesn't change with time? (a) yes (b) ... Neural Networks of Neural Networks Please answer the above question....
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Aug 27, 2022
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Q: What can be the possible reason for thermal equilibrium in stochastic networks?
What can be the possible reason for thermal equilibrium in stochastic networks? (a) probability distribution of ... exhibits stable states Please answer the above question....
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Aug 27, 2022
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Q: Can networks with symmetric weight reach thermal equilibrium?
Can networks with symmetric weight reach thermal equilibrium? (a) yes (b) no I have been asked this ... Neural Networks of Neural Networks Please answer the above question....
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Aug 27, 2022
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Q: When activation value is determined by using the average of fluctuations of outputs from other units, it is known as?
When activation value is determined by using the average of fluctuations of outputs from other units, it is known as? ... d) none of the mentioned Please answer the above question....
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Aug 27, 2022
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Q: Where does a stochastic network exhibits stable states ?
Where does a stochastic network exhibits stable states ? (a) at any temperature (b) above critical temperature ( ... d) below critical temperature Please answer the above question....
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Aug 27, 2022
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Q: Probability of error in recall of stored patterns can be reduced if?
Probability of error in recall of stored patterns can be reduced if? (a) patterns are stored appropriately (b) inputs ... d) none of the mentioned Please answer the above question....
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Aug 27, 2022
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Q: What is pattern environment?
What is pattern environment? (a) probability of desired patterns (b) probability of given patterns (c) behaviour of ... d) none of the mentioned Please answer the above question....
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Aug 27, 2022
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Q: What should be the aim of training procedure in boltzman machine of feedback networks?
What should be the aim of training procedure in boltzman machine of feedback networks? (a) to capture inputs (b) to ... (d) none of the mentioned Please answer the above question....
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Aug 27, 2022
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Q: What consist of boltzman machine?
What consist of boltzman machine? (a) fully connected network with both hidden and visible units (b) asynchronous ... ) all of the mentioned Please answer the above question....
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Aug 27, 2022
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Q: By using which method, boltzman machine reduces effect of additional stable states?
By using which method, boltzman machine reduces effect of additional stable states? (a) no such method exist (b) ... d) none of the mentioned Please answer the above question....
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Aug 27, 2022
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Q: For which other task can boltzman machine be used?
For which other task can boltzman machine be used? (a) pattern mapping (b) feature mapping (c) classification (d) pattern association Please answer the above question....
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Aug 27, 2022
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Q: How are energy minima related to probability of occurrence of corresponding patterns in the environment?
How are energy minima related to probability of occurrence of corresponding patterns in the environment? (a) directly (b ... (d) no relation Please answer the above question....
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Aug 27, 2022
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Q: Is exact representation of pattern environment possible?
Is exact representation of pattern environment possible? (a) yes (b) no I have been asked this question in ... Neural Networks of Neural Networks Please answer the above question....
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Aug 27, 2022
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Q: What may be the reasons for non zero probability of error in recalling?
What may be the reasons for non zero probability of error in recalling? (a) spurious stable states (b) approximation ... (d) all of the mentioned Please answer the above question....
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Aug 27, 2022
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Q: Presence of false minima will have what effect on probability of error in recall?
Presence of false minima will have what effect on probability of error in recall? (a) directly (b) inversely (c ... (d) directly or inversely Please answer the above question....
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Aug 27, 2022
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Q: How is effect false minima reduced
How is effect false minima reduced (a) deterministic update of weights (b) stochastic update of weights (c) ... ) none of the mentioned Please answer the above question....
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Aug 27, 2022
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Q: Is Boltzman law practical for implementation?
Is Boltzman law practical for implementation? (a) yes (b) no The question was posed to me in a job ... Neural Networks of Neural Networks Please answer the above question....
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Aug 27, 2022
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Q: For practical implementation what type of approximation is used on boltzman law?
For practical implementation what type of approximation is used on boltzman law? (a) max field approximation (b) min ... d) none of the mentioned Please answer the above question....
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Aug 27, 2022
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JackTerrance
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Q: What happens when we use mean field approximation with boltzman learning?
What happens when we use mean field approximation with boltzman learning? (a) it slows down (b) it get speeded up ... ) may speedup or speed down Please answer the above question....
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Aug 27, 2022
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JackTerrance
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Q: Approximately how much times the boltzman learning get speeded up using mean field approximation?
Approximately how much times the boltzman learning get speeded up using mean field approximation? (a) 5-10 (b) 10-30 (c) 30-50 (d) 50-70 Please answer the above question....
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Aug 27, 2022
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JackTerrance
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Q: False minima can be reduced by deterministic updates?
False minima can be reduced by deterministic updates? (a) yes (b) no This question was posed to me in ... Neural Networks of Neural Networks Please answer the above question....
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Aug 27, 2022
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JackTerrance
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Q: In boltzman learning which algorithm can be used to arrive at equilibrium?
In boltzman learning which algorithm can be used to arrive at equilibrium? (a) hopfield (b) mean field (c) hebb (d) none of the mentioned Please answer the above question....
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Aug 27, 2022
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JackTerrance
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Q: Boltzman learning is a?
Boltzman learning is a? (a) fast process (b) steady process (c) slow process (d) none of the mentioned Please answer the above question....
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Aug 27, 2022
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JackTerrance
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Q: How are input layer units connected to second layer in competitive learning networks?
How are input layer units connected to second layer in competitive learning networks? (a) feedforward manner (b) ... (d) feedforward or feedback Please answer the above question....
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Aug 27, 2022
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JackTerrance
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Q: Which layer has feedback weights in competitive neural networks?
Which layer has feedback weights in competitive neural networks? (a) input layer (b) second layer (c) both input and ... (d) none of the mentioned Please answer the above question....
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Aug 27, 2022
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JackTerrance
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Q: What is the nature of general feedback given in competitive neural networks?
What is the nature of general feedback given in competitive neural networks? (a) self excitatory (b) self inhibitory ... d) none of the mentioned Please answer the above question....
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Aug 27, 2022
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JackTerrance
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Q: What conditions are must for competitive network to perform pattern clustering?
What conditions are must for competitive network to perform pattern clustering? (a) non linear output layers (b) ... fulfils the whole criteria Please answer the above question....
asked
Aug 27, 2022
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JackTerrance
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